Title
An Empirical Evaluation of Algorithms for Data Labeling
Abstract
The lack of labeled data is a major problem in both research and industrial settings since obtaining labels is often an expensive and time-consuming activity. In the past years, several machine learning algorithms were developed to assist and perform automated labeling in partially labeled datasets. While many of these algorithms are available in open-source packages, there is a lack of research t...
Year
DOI
Venue
2021
10.1109/COMPSAC51774.2021.00038
2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC)
Keywords
DocType
ISSN
Machine learning algorithms,Uncertainty,Conferences,Software algorithms,Manuals,Machine learning,Semisupervised learning
Conference
0730-3157
ISBN
Citations 
PageRank 
978-1-6654-2463-9
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Teodor Fredriksson111.71
David Issa Mattos2102.94
Jan Bosch380788.13
Helena Holmström Olsson435737.09